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Qinghao Guan; Yangxi Han – Innovations in Education and Teaching International, 2025
As generative AI (GenAI) continues to permeate academia, distinguishing between student-authored essays and those by Large Language Models (LLMs) becomes crucial for maintaining academic integrity. This study conducted a survey on the ethical awareness of using generative AI tools among a group of STEM students (n=156). Also, we empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
Kirkwood Adams; Maria G. Baker – Thresholds in Education, 2025
In response to (1) studies finding that essay feedback generated by ChatGPT might be useful for student writers and (2) studies observing ChatGPT's tendency to adhere to narrow genre definitions when producing writing, our study seeks to examine whether ChatGPT can provide useful feedback in a first-year writing learning environment that targets a…
Descriptors: Freshman Composition, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Rosa María Jiménez Catalán, Editor – Educational Linguistics, 2025
This book delves into psycholinguistic and cognitive aspects of lexical activation, availability, and production in English or Spanish as additional languages in classroom settings. Instead of focusing sociologically and pedagogically on lexical availability, this collective work adopts a cognitive approach. Ten studies, conducted by experienced…
Descriptors: English (Second Language), Spanish, Second Language Learning, Vocabulary
Yu Zhai; Yajing Xing; Jianlong Zhao; XiangYu He; Kexin Jiang; Tengfei Zhang; Chunming Lu – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Children with congenital hearing loss (HL) have auditory impairments that may place them at increased risk for delays or variability in language development. However, obtaining reliable brain markers for early classification of young children with HL versus those with normal hearing (NH), as well as for precise assessment of HL children's…
Descriptors: Young Children, Hard of Hearing, Congenital Impairments, Mothers
Wesley Morris; Langdon Holmes; Joon Suh Choi; Scott Crossley – International Journal of Artificial Intelligence in Education, 2025
Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…
Descriptors: Automation, Computer Assisted Testing, Mathematics Tests, Scoring
Alex Goslen; Yeo Jin Kim; Jonathan Rowe; James Lester – International Journal of Artificial Intelligence in Education, 2025
The development of large language models offers new possibilities for enhancing adaptive scaffolding of student learning in game-based learning environments. In this work, we present a novel framework for automatic plan generation that utilizes text-based representations of students' actions within a game-based learning environment, Crystal…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Game Based Learning
Darius Hennekeuser; Daryoush Daniel Vaziri; David Golchinfar; Dirk Schreiber; Gunnar Stevens – International Journal of Artificial Intelligence in Education, 2025
Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…
Descriptors: Lecture Method, College Instruction, Higher Education, College Faculty
Smitha S. Kumar; Michael A. Lones; Manuel Maarek; Hind Zantout – ACM Transactions on Computing Education, 2025
Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…
Descriptors: Automation, Computer Science Education, Programming, Feedback (Response)
Boon, Ian Gregory – ProQuest LLC, 2022
It is standardly believed that some occurrences of expressions designate singularly, while other occurrences of expressions designate plurally. For instance, the singular expression the student may be used on an occasion to talk about one particular student, while the plural expression the students may be used on an occasion to talk about several…
Descriptors: Grammar, Morphemes, Language Usage, Essays
Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
Letty Rising – Montessori Life: A Publication of the American Montessori Society, 2024
In the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Thomas St. Pierre; Jida Jaffan; Craig G. Chambers; Elizabeth K. Johnson – Cognitive Science, 2024
Adults are skilled at using language to construct/negotiate identity and to signal affiliation with others, but little is known about how these abilities develop in children. Clearly, children mirror statistical patterns in their local environment (e.g., Canadian children using "zed" instead of "zee"), but do they flexibly…
Descriptors: Language Usage, Group Membership, Vocabulary Skills, Children
Anna Koufakou – Education and Information Technologies, 2024
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution. Reading and manually analyzing open-ended feedback becomes infeasible for massive volumes of comments at institution level or online forums. In this paper, we collected and pre-processed a large number of course…
Descriptors: Learning, Opinions, Student Attitudes, Natural Language Processing
Silvia Martínez-Ferreiro – International Journal of Language & Communication Disorders, 2024
Background: Word retrieval skills change across the lifespan. Permanent alterations in the form of decreased accuracy or increased response time can be a consequence of both normal ageing processes or the presence of acquired and neurodegenerative disorders (e.g., aphasia and dementia). Despite the extensive literature exploring the…
Descriptors: Naming, Language Processing, Aphasia, Dementia
Stefan Wöhner; Andreas Mädebach; Herbert Schriefers; Jörg D. Jescheniak – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
This study traced different types of distractor effects in the picture-word interference (PWI) task across repeated naming. Starting point was a PWI study by Kurtz et al. (2018). It reported that naming a picture (e.g., of a duck) was slowed down by a distractor word phonologically related to an alternative picture name from a different taxonomic…
Descriptors: Naming, Interference (Learning), Foreign Countries, College Students

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